Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.Responsibilities Design and implement code for training/serving ML models in chip design workflows Automate creation of large datasets for training models Integrate ML models into existing chip design software infrastructure Write comprehensive tests and documentation Collaborate with engineers to understand model requirements and deployment needs Participate in code reviews and follow software engineering best practices Research and evaluate new technologies for ML model serving and deployment RequirementsCurrently pursuing a degree in Computer Science, Electrical Engineering, or related fieldAvailability to work at least part-time starting in Fall 2026Strong Python programming skills with experience in scripting and automationUnderstanding of software engineering principles and code organizationExperience with data processing libraries (pandas, numpy, scipy)Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)Basic understanding of file I/O, data parsing, and format conversionExperience with version control systems (Git) and collaborative developmentPreferred SkillsExposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)Experience with shell scripting (bash) and command-line toolsUnderstanding of semiconductor design conceptsFamiliarity with Linux environmentsExperience with workflow automation and batch processing systemsKnowledge of data visualization tools (matplotlib, plotly) for design analysisUnderstanding of software testing frameworks and debugging techniquesBenefitsCompetitive Salary Sick LeaveDISCLOSUREFalcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions.
We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards.
Responsibilities
- Design and implement code for training/serving ML models in chip design workflows
- Automate creation of large datasets for training models
- Integrate ML models into existing chip design software infrastructure
- Write comprehensive tests and documentation
- Collaborate with engineers to understand model requirements and deployment needs
- Participate in code reviews and follow software engineering best practices
- Research and evaluate new technologies for ML model serving and deployment
Requirements
- Currently pursuing a degree in Computer Science, Electrical Engineering, or related field
- Availability to work at least part-time starting in Fall 2026
- Strong Python programming skills with experience in scripting and automation
- Understanding of software engineering principles and code organization
- Experience with data processing libraries (pandas, numpy, scipy)
- Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn)
- Basic understanding of file I/O, data parsing, and format conversion
- Experience with version control systems (Git) and collaborative development
Preferred Skills
- Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.)
- Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE)
- Experience with shell scripting (bash) and command-line tools
- Understanding of semiconductor design concepts
- Familiarity with Linux environments
- Experience with workflow automation and batch processing systems
- Knowledge of data visualization tools (matplotlib, plotly) for design analysis
- Understanding of software testing frameworks and debugging techniques
Benefits
- Competitive Salary
- Sick Leave
DISCLOSURE
- Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
- Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm.
- To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Falcomm is a fabless semiconductor company building high-efficiency RF power amplifier chips and RF front-end solutions for satellite, aerospace, defense, and wireless communications. Falcomm combines proprietary PA architectures with AI-driven design automation to deliver better performance and faster product development.
Falcomm is a fabless semiconductor company building high-efficiency RF power amplifier chips and RF front-end solutions for satellite, aerospace, defense, and wireless communications. Falcomm combines proprietary PA architectures with AI-driven design automation to deliver better performance and faster product development.
